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Cary, North Carolina, March 12, 2026 /PRNewswire/ — Chartis Research Chartis RiskTech Quadrant® For AI governance solutions. Among the 28 vendors studied in this quadrant as part of a larger assessment of the Governance, Resilience, and Compliance Solutions market, Chartis recognized SAS as best-in-class in the Model Management and Workflow category.
SAS Viya helps customers ensure that their AI systems are reliable, explainable, and human-centric.
” SAS beer “The platform includes cutting-edge governance capabilities that extend classic machine learning, model risk management, explainability, bias detection, privacy protection, and end-to-end monitoring to the broader enterprise AI environment. These capabilities, combined with our deep regulated industry expertise, position SAS to demonstrate AI as a growth strategy for our customers and prospects.”
Best-in-class advanced features
AI governance This enables companies to systematically expand their AI capabilities while incorporating safety, ethics, data quality, and operational resiliency into business workflows and decision-making.
SAS® Viya®The company’s data and AI platform helps customers ensure that their AI systems are reliable, explainable, and human-centric through built-in trusted AI controls, bias detection, and human oversight at every critical decision point.
“AI governance is not a compliance exercise; it is a competitive advantage,” said Stu Bradley, senior vice president of risk. scam Compliance Solutions from SAS. “When organizations get it right, they act faster, build deeper trust, and face risks rather than reacting to them. Chartis’ latest assessment reflects what our customers already know: At SAS, governance is built in, not bolted on.”
as stated in the chart vendor spotlightSAS has achieved category leadership in AI governance on the strength of SAS Viya and a robust portfolio of solutions purpose-built for regulated industries. According to Vendor Spotlight, SAS’ best-in-class advanced features include:
best in class
- model management – SAS’ Model Risk Management (MRM) expertise is a foundational pillar of our AI governance strategy, underpinning a forward-thinking approach to AI model risk at every stage of use and implementation. SAS Viya’s lifecycle monitoring detects drift, automates documentation, and triggers retraining to support customer compliance needs. Audit trails and interpretable tools help organizations meet changing regulatory requirements that are important in banking and financial services.
- workflow – The SAS platform supports integrated workflows to help manage AI models, with a focus on automating governance tasks. These structured pipelines provide greater data visibility and faster decision-making while strengthening checkpoints and compliance gates.
advanced
- governance – SAS governance capabilities proactively help companies mitigate AI and model risks, enabling automated enforcement of AI risk frameworks and regulations. Human oversight provides accountability through explainability checkpoints and full lifecycle reviews.
- data management – SAS’ data management capabilities emphasize data privacy and protection, visibility and benchmarking/mapping, while SAS Viya’s integrated platform handles structured and unstructured data with audit trails. Tools such as SAS Data Maker generate synthetic data for safe testing and help reduce risk for users.
- Visualization/Dashboard – SAS Viya provides auditable reports, traceability dashboards, and explainable tools designed to detail AI decision-making by agents. This visibility strengthens stakeholder trust. The solution also supports human oversight, helping businesses clarify and troubleshoot complex findings and issues, facilitate compliance with AI regulations, and assist with regulatory reporting.
- Model coverage – SAS Viya supports a wide range of model types, including traditional machine learning, GenAI, large language models (LLM), and agent systems. With Viya, customers can establish an enterprise inventory and AI control environment and extend governance to their models through tools for transparency, accuracy, fairness, and lifecycle tracking.
What is AI governance?
AI governance is a comprehensive strategy that establishes AI oversight, ensures compliance, and develops consistent operations and infrastructure within your organization. It also promotes a human-centered culture and promotes transparency and accountability in AI.
Strong AI governance builds trust with customers, regulators, and internal stakeholders such as boards and employees. Organizations with robust AI governance frameworks are well-positioned to strengthen trust in AI-driven decision-making and manage AI risks with confidence. Without AI governance, organizations face potential legal penalties, reputational damage from biased or opaque AI decisions, operational inefficiencies, and lack of stakeholders. Trust AI.
How SAS supports AI governance
SAS leverages decades of governance experience to support AI governance with capabilities built across SAS Viya and a comprehensive product portfolio across all areas of governance, risk, and compliance. Users can perform model risk management (MRM), model interpretability, bias detection and mitigation, data masking, and more.
SAS AI Navigator, released next quarter, will help organizations gain complete visibility and control over their AI usage. Centralize information about models, agents, and use cases. Includes evaluation. and enable governance and responsible implementation.
SAS AI Governance Manager supports highly regulated industries such as banking and insurance. Achieve enterprise-grade compliance through unified governance, policy controls, MRM, and model deployment.
Technology and industry leadership
This AI Governance Rating is just the latest assessment of SAS by Chartis. Others include:
- SAS took second place overall. Chartis Risk Tech 100® 2026the world’s most authoritative ranking of risk management technologies.
- At RiskTech100®SAS won in seven solution award categories: Banking AI, Balance Sheet Risk Management, Behavioral Modeling, Capital Optimization, Corporate Stress Testing, IFRS 9, and MRM.
- Chartis named SAS a category leader in all six quadrants of its Asset Liability Management (ALM) market analysis.
- Chartis recognized SAS as a category leader in seven distinct sectors of the credit risk management market.
Strong governance is key to maximizing the potential of AI while minimizing risk. For a clear, practical roadmap to innovate confidently and responsibly, download the free SAS eBook. How to manage your AI strategy in a highly regulated world.
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